https://doi.org/10.1140/epjs/s11734-024-01257-5
Review
Unveiling the secrets of new physics through top quark tagging
1
Institute of Physics, Bhubaneswar, Sachivalaya Marg, Sainik School Post, 751005, Bhubaneswar, India
2
Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, 400094, Mumbai, India
3
Institute of High Energy Physics, Chinese Academy of Sciences, 100049, Beijing, China
4
Kaiping Neutrino Research Center, 529399, Jiangmen, China
Received:
27
April
2024
Accepted:
16
July
2024
Published online:
24
September
2024
The ubiquity of top-rich final states in the context of beyond the Standard Model (BSM) searches has led to their status as extensively studied signatures at the LHC. Over the past decade, numerous endeavours have been undertaken in the literature to develop methods for efficiently distinguishing boosted top quark jets from QCD jets. Although cut-based strategies for boosted top tagging, which rely on substructure information from fat jets resulting from the hadronic decay of boosted top quarks, were introduced in the literature as early as 2008, recent years have witnessed a surge in the utilization of machine learning-based approaches for the classification of top-jets from QCD jets. The review focuses on the present status of boosted top tagging and its application for BSM searchers.
© The Author(s) 2024
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